We are looking for a hands-on Tech Lead who can take an unclear business problem, shape a sensible technical approach, and help a team deliver it. You will lead engineering for a product or project workstream while continuing to write and review production code. The role requires strong full-stack foundations, practical experience with GenAI, and the judgement to know when a quick prototype is enough and when a solution needs stronger architecture, testing, security, and operational controls.

What You'll Do

- Lead engineering delivery from early discovery and technical design through development, deployment, and production support
- Turn requirements and architecture into clear workstreams, estimates, dependencies, and ownership for the team
- Build quick proofs of concept where helpful, then test, simplify, rework, and harden the successful ideas for production
- Design and build AI-enabled capabilities such as RAG pipelines, agents, intelligent workflows, memory, and evaluation
- Develop scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django, Node.js
- Guide the development of responsive frontend applications using React and TypeScript
- Set expectations for code review, testing, CI/CD, monitoring, security, performance, and production readiness
- Identify technical risks early and explain the available trade-offs to project and client stakeholders
- Mentor engineers, support hiring and onboarding,



and help the team improve its engineering practices
- Work closely with consulting teams and domain experts to turn business problems into solutions that can be delivered and supported

Requirements

Experience

- A bachelor's or master's degree in computer science or a related field, or equivalent practical experience
- 5 to 8 years of software engineering experience, including experience leading engineers or a significant technical workstream
- Strong full-stack skills across backend services, API design, data modelling, and modern frontend development
- Advanced hands-on experience with Python and React with TypeScript
- Experience taking AI-enabled products from an early concept into production
- Strong practical knowledge of RAG, embeddings, vector databases, prompt design, evaluation, and agentic systems

Technical Depth

- Azure and AWS services used for application, data, identity, AI, networking, and monitoring
- AI orchestration frameworks such as LangGraph, Semantic Kernel, LangChain, CrewAI, AutoGen, or similar tools
- LLMOps, evaluation, tracing, quality measurement, guardrails, and AI observability
- Containers, CI/CD, infrastructure as code, secrets management, authentication, authorization, and secure development
- Distributed systems, queues, caching, failure handling, performance tuning, and cost management
- AI-assisted development tools such as GitHub Copilot or Claude Code, used with sound engineering judgement

📌 Tech Lead (Gurugram)
🏢 Preferred Square
📍 Gurugram